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GNSS-based spacecraft navigation in elliptical and High Earth Orbits using Single Propagation Unscented Kalman Filters

机译:基于GNSS的航天器导航在椭圆和高地轨道中使用单一传播无创的卡尔曼过滤器

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With the advent of multiple Global Navigation Satellite Systems (GNSS), the feasibility of navigation using GNSS observations beyond Low Earth Orbits has been explored in recent years. An estimation algorithm is one of the critical components of a well-designed navigation system, and it must be judiciously chosen for a particular application. The non-linearity of spacecraft dynamics in a highly elliptical orbit is high and if the apogee of the orbit is higher than Medium Earth Orbit, the state vector of the spacecraft motion may be only partially observable due to the limited availability and low Signal power of GNSS signals. In this scenario, variants of the Unscented Kalman Filter (UKF) can provide better estimation performance. In this paper, GNSS-based navigation of spacecraft in elliptical and High Earth Orbits using Single Propagation type UKFs are demonstrated. These estimation algorithms provide UKF like estimation performance and require around 90% less computation time than the conventional UKF.
机译:随着多个全球导航卫星系统(GNSS)的出现,近年来探讨了使用GNSS观测的导航的可行性。估计算法是精心设计的导航系统的关键组件之一,它必须明智地为特定应用选择。在高椭圆轨道中的航天器动力学的非线性高,如果轨道的托管高于介质地球轨道,则由于有限的可用性和低信号功率,航天器运动的状态向量可以仅部分观察GNSS信号。在这种情况下,UndEnted Kalman滤波器(UKF)的变体可以提供更好的估计性能。在本文中,证明了使用单一传播型UKFS在椭圆形和高地轨道中的基于GNSS的航天器导航。这些估计算法提供UKF,如估计性能,并且需要比传统UKF更少的计算时间大约90%。

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